Migrate the ROS1 pcl::VoxelGrid filter to ROS2 pcl_ros::VoxelGrid (#398)
* Add the VoxelGrid filter (squash commit) * Revert the change that brings in separate leaf sizes
This commit is contained in:
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bb871ac7f0
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b52e7a7ab1
@ -88,7 +88,7 @@ add_library(pcl_ros_filters SHARED
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src/pcl_ros/filters/project_inliers.cpp
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src/pcl_ros/filters/radius_outlier_removal.cpp
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src/pcl_ros/filters/statistical_outlier_removal.cpp
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# src/pcl_ros/filters/voxel_grid.cpp
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src/pcl_ros/filters/voxel_grid.cpp
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src/pcl_ros/filters/crop_box.cpp
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)
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target_link_libraries(pcl_ros_filters pcl_ros_tf ${PCL_LIBRARIES})
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@ -117,6 +117,10 @@ rclcpp_components_register_node(pcl_ros_filters
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PLUGIN "pcl_ros::CropBox"
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EXECUTABLE filter_crop_box_node
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)
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rclcpp_components_register_node(pcl_ros_filters
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PLUGIN "pcl_ros::VoxelGrid"
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EXECUTABLE filter_voxel_grid_node
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)
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class_loader_hide_library_symbols(pcl_ros_filters)
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#
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### Declare the pcl_ros_segmentation library
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@ -40,11 +40,9 @@
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// PCL includes
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#include <pcl/filters/voxel_grid.h>
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#include <vector>
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#include "pcl_ros/filters/filter.hpp"
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// Dynamic reconfigure
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#include "pcl_ros/VoxelGridConfig.hpp"
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namespace pcl_ros
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{
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/** \brief @b VoxelGrid assembles a local 3D grid over a given PointCloud, and downsamples + filters the data.
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@ -53,38 +51,42 @@ namespace pcl_ros
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class VoxelGrid : public Filter
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{
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protected:
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/** \brief Pointer to a dynamic reconfigure service. */
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boost::shared_ptr<dynamic_reconfigure::Server<pcl_ros::VoxelGridConfig>> srv_;
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/** \brief The PCL filter implementation used. */
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pcl::VoxelGrid<pcl::PCLPointCloud2> impl_;
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/** \brief Call the actual filter.
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* \param input the input point cloud dataset
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* \param indices the input set of indices to use from \a input
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* \param output the resultant filtered dataset
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*/
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virtual void
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inline void
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filter(
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const PointCloud2::ConstPtr & input, const IndicesPtr & indices,
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PointCloud2 & output);
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const PointCloud2::ConstSharedPtr & input, const IndicesPtr & indices,
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PointCloud2 & output) override
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{
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std::lock_guard<std::mutex> lock(mutex_);
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pcl::PCLPointCloud2::Ptr pcl_input(new pcl::PCLPointCloud2);
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pcl_conversions::toPCL(*(input), *(pcl_input));
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impl_.setInputCloud(pcl_input);
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impl_.setIndices(indices);
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pcl::PCLPointCloud2 pcl_output;
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impl_.filter(pcl_output);
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pcl_conversions::moveFromPCL(pcl_output, output);
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}
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/** \brief Child initialization routine.
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* \param nh ROS node handle
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* \param has_service set to true if the child has a Dynamic Reconfigure service
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/** \brief Parameter callback
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* \param params parameter values to set
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*/
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bool
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child_init(ros::NodeHandle & nh, bool & has_service);
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rcl_interfaces::msg::SetParametersResult
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config_callback(const std::vector<rclcpp::Parameter> & params);
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/** \brief Dynamic reconfigure callback
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* \param config the config object
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* \param level the dynamic reconfigure level
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*/
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void
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config_callback(pcl_ros::VoxelGridConfig & config, uint32_t level);
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OnSetParametersCallbackHandle::SharedPtr callback_handle_;
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private:
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/** \brief The PCL filter implementation used. */
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pcl::VoxelGrid<pcl::PCLPointCloud2> impl_;
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public:
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EIGEN_MAKE_ALIGNED_OPERATOR_NEW
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explicit VoxelGrid(const rclcpp::NodeOptions & options);
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};
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} // namespace pcl_ros
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@ -247,20 +247,11 @@ pcl_ros::Filter::add_common_params()
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"Set to true if we want to return the data outside [filter_limit_min; filter_limit_max].";
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declare_parameter(flneg_desc.name, rclcpp::ParameterValue(false), flneg_desc);
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rcl_interfaces::msg::ParameterDescriptor keep_organized_desc;
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keep_organized_desc.name = "keep_organized";
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keep_organized_desc.type = rcl_interfaces::msg::ParameterType::PARAMETER_BOOL;
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keep_organized_desc.description =
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"Set whether the filtered points should be kept and set to NaN, "
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"or removed from the PointCloud, thus potentially breaking its organized structure.";
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declare_parameter(keep_organized_desc.name, rclcpp::ParameterValue(false), keep_organized_desc);
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return std::vector<std::string> {
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ffn_desc.name,
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flmin_desc.name,
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flmax_desc.name,
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flneg_desc.name,
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keep_organized_desc.name
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flneg_desc.name
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};
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}
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@ -41,7 +41,20 @@ pcl_ros::PassThrough::PassThrough(const rclcpp::NodeOptions & options)
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: Filter("PassThroughNode", options)
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{
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use_frame_params();
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std::vector<std::string> param_names = add_common_params();
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std::vector<std::string> common_param_names = add_common_params();
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rcl_interfaces::msg::ParameterDescriptor keep_organized_desc;
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keep_organized_desc.name = "keep_organized";
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keep_organized_desc.type = rcl_interfaces::msg::ParameterType::PARAMETER_BOOL;
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keep_organized_desc.description =
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"Set whether the filtered points should be kept and set to NaN, "
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"or removed from the PointCloud, thus potentially breaking its organized structure.";
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declare_parameter(keep_organized_desc.name, rclcpp::ParameterValue(false), keep_organized_desc);
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std::vector<std::string> param_names {
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keep_organized_desc.name,
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};
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param_names.insert(param_names.end(), common_param_names.begin(), common_param_names.end());
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callback_handle_ =
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add_on_set_parameters_callback(
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@ -50,6 +63,7 @@ pcl_ros::PassThrough::PassThrough(const rclcpp::NodeOptions & options)
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std::placeholders::_1));
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config_callback(get_parameters(param_names));
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// TODO(daisukes): lazy subscription after rclcpp#2060
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subscribe();
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}
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@ -35,100 +35,144 @@
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*
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*/
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#include <pluginlib/class_list_macros.h>
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#include "pcl_ros/filters/voxel_grid.hpp"
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//////////////////////////////////////////////////////////////////////////////////////////////
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bool
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pcl_ros::VoxelGrid::child_init(ros::NodeHandle & nh, bool & has_service)
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pcl_ros::VoxelGrid::VoxelGrid(const rclcpp::NodeOptions & options)
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: Filter("VoxelGridNode", options)
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{
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// Enable the dynamic reconfigure service
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has_service = true;
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srv_ = boost::make_shared<dynamic_reconfigure::Server<pcl_ros::VoxelGridConfig>>(nh);
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dynamic_reconfigure::Server<pcl_ros::VoxelGridConfig>::CallbackType f = boost::bind(
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&VoxelGrid::config_callback, this, _1, _2);
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srv_->setCallback(f);
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std::vector<std::string> common_param_names = add_common_params();
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return true;
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}
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//////////////////////////////////////////////////////////////////////////////////////////////
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void
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pcl_ros::VoxelGrid::filter(
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const PointCloud2::ConstPtr & input,
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const IndicesPtr & indices,
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PointCloud2 & output)
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{
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boost::mutex::scoped_lock lock(mutex_);
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pcl::PCLPointCloud2::Ptr pcl_input(new pcl::PCLPointCloud2);
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pcl_conversions::toPCL(*(input), *(pcl_input));
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impl_.setInputCloud(pcl_input);
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impl_.setIndices(indices);
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pcl::PCLPointCloud2 pcl_output;
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impl_.filter(pcl_output);
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pcl_conversions::moveFromPCL(pcl_output, output);
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}
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//////////////////////////////////////////////////////////////////////////////////////////////
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void
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pcl_ros::VoxelGrid::config_callback(pcl_ros::VoxelGridConfig & config, uint32_t level)
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{
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boost::mutex::scoped_lock lock(mutex_);
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Eigen::Vector3f leaf_size = impl_.getLeafSize();
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if (leaf_size[0] != config.leaf_size) {
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leaf_size.setConstant(config.leaf_size);
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NODELET_DEBUG("[config_callback] Setting the downsampling leaf size to: %f.", leaf_size[0]);
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impl_.setLeafSize(leaf_size[0], leaf_size[1], leaf_size[2]);
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rcl_interfaces::msg::ParameterDescriptor leaf_size_desc;
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leaf_size_desc.name = "leaf_size";
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leaf_size_desc.type = rcl_interfaces::msg::ParameterType::PARAMETER_DOUBLE;
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leaf_size_desc.description =
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"The size of a leaf (on x,y,z) used for downsampling";
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{
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rcl_interfaces::msg::FloatingPointRange float_range;
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float_range.from_value = 0.0;
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float_range.to_value = 1.0;
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leaf_size_desc.floating_point_range.push_back(float_range);
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}
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declare_parameter(leaf_size_desc.name, rclcpp::ParameterValue(0.01), leaf_size_desc);
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rcl_interfaces::msg::ParameterDescriptor min_points_per_voxel_desc;
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min_points_per_voxel_desc.name = "min_points_per_voxel";
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min_points_per_voxel_desc.type = rcl_interfaces::msg::ParameterType::PARAMETER_INTEGER;
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min_points_per_voxel_desc.description =
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"The minimum number of points required for a voxel to be used.";
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{
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rcl_interfaces::msg::IntegerRange int_range;
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int_range.from_value = 1;
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int_range.to_value = 100000;
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min_points_per_voxel_desc.integer_range.push_back(int_range);
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}
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declare_parameter(
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min_points_per_voxel_desc.name, rclcpp::ParameterValue(2), min_points_per_voxel_desc);
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std::vector<std::string> param_names {
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leaf_size_desc.name,
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min_points_per_voxel_desc.name,
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};
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param_names.insert(param_names.end(), common_param_names.begin(), common_param_names.end());
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callback_handle_ =
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add_on_set_parameters_callback(
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std::bind(
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&VoxelGrid::config_callback, this,
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std::placeholders::_1));
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config_callback(get_parameters(param_names));
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// TODO(daisukes): lazy subscription after rclcpp#2060
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subscribe();
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}
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//////////////////////////////////////////////////////////////////////////////////////////////
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rcl_interfaces::msg::SetParametersResult
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pcl_ros::VoxelGrid::config_callback(const std::vector<rclcpp::Parameter> & params)
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{
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std::lock_guard<std::mutex> lock(mutex_);
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double filter_min, filter_max;
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impl_.getFilterLimits(filter_min, filter_max);
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if (filter_min != config.filter_limit_min) {
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filter_min = config.filter_limit_min;
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NODELET_DEBUG(
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"[config_callback] Setting the minimum filtering value a point will be considered "
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"from to: %f.",
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filter_min);
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}
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if (filter_max != config.filter_limit_max) {
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filter_max = config.filter_limit_max;
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NODELET_DEBUG(
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"[config_callback] Setting the maximum filtering value a point will be considered "
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"from to: %f.",
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filter_max);
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}
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impl_.setFilterLimits(filter_min, filter_max);
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if (impl_.getFilterLimitsNegative() != config.filter_limit_negative) {
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impl_.setFilterLimitsNegative(config.filter_limit_negative);
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NODELET_DEBUG(
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"[%s::config_callback] Setting the filter negative flag to: %s.",
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getName().c_str(), config.filter_limit_negative ? "true" : "false");
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Eigen::Vector3f leaf_size = impl_.getLeafSize();
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unsigned int minPointsPerVoxel = impl_.getMinimumPointsNumberPerVoxel();
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for (const rclcpp::Parameter & param : params) {
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if (param.get_name() == "filter_field_name") {
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// Check the current value for the filter field
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if (impl_.getFilterFieldName() != param.as_string()) {
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// Set the filter field if different
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impl_.setFilterFieldName(param.as_string());
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RCLCPP_DEBUG(
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get_logger(), "Setting the filter field name to: %s.",
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param.as_string().c_str());
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}
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}
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if (param.get_name() == "filter_limit_min") {
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// Check the current values for filter min-max
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if (filter_min != param.as_double()) {
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filter_min = param.as_double();
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RCLCPP_DEBUG(
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get_logger(),
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"Setting the minimum filtering value a point will be considered from to: %f.",
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filter_min);
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// Set the filter min-max if different
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impl_.setFilterLimits(filter_min, filter_max);
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}
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}
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if (param.get_name() == "filter_limit_max") {
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// Check the current values for filter min-max
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if (filter_max != param.as_double()) {
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filter_max = param.as_double();
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RCLCPP_DEBUG(
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get_logger(),
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"Setting the maximum filtering value a point will be considered from to: %f.",
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filter_max);
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// Set the filter min-max if different
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impl_.setFilterLimits(filter_min, filter_max);
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}
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}
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if (param.get_name() == "filter_limit_negative") {
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bool new_filter_limits_negative = param.as_bool();
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if (impl_.getFilterLimitsNegative() != new_filter_limits_negative) {
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RCLCPP_DEBUG(
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get_logger(),
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"Setting the filter negative flag to: %s.",
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(new_filter_limits_negative ? "true" : "false"));
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impl_.setFilterLimitsNegative(new_filter_limits_negative);
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}
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}
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if (param.get_name() == "min_points_per_voxel") {
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if (minPointsPerVoxel != ((unsigned int) param.as_int())) {
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RCLCPP_DEBUG(
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get_logger(),
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"Setting the minimum points per voxel to: %u.",
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minPointsPerVoxel);
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impl_.setMinimumPointsNumberPerVoxel(param.as_int());
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}
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}
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if (param.get_name() == "leaf_size") {
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leaf_size.setConstant(param.as_double());
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if (impl_.getLeafSize() != leaf_size) {
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RCLCPP_DEBUG(
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get_logger(), "Setting the downsampling leaf size to: %f %f %f.",
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leaf_size[0], leaf_size[1], leaf_size[2]);
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impl_.setLeafSize(leaf_size[0], leaf_size[1], leaf_size[2]);
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}
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}
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}
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if (impl_.getFilterFieldName() != config.filter_field_name) {
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impl_.setFilterFieldName(config.filter_field_name);
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NODELET_DEBUG(
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"[config_callback] Setting the filter field name to: %s.",
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config.filter_field_name.c_str());
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}
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// ---[ These really shouldn't be here, and as soon as dynamic_reconfigure improves,
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// we'll remove them and inherit from Filter
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if (tf_input_frame_ != config.input_frame) {
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tf_input_frame_ = config.input_frame;
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NODELET_DEBUG("[config_callback] Setting the input TF frame to: %s.", tf_input_frame_.c_str());
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}
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if (tf_output_frame_ != config.output_frame) {
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tf_output_frame_ = config.output_frame;
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NODELET_DEBUG(
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"[config_callback] Setting the output TF frame to: %s.",
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tf_output_frame_.c_str());
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}
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// ]---
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// Range constraints are enforced by rclcpp::Parameter.
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rcl_interfaces::msg::SetParametersResult result;
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result.successful = true;
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return result;
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}
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typedef pcl_ros::VoxelGrid VoxelGrid;
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PLUGINLIB_EXPORT_CLASS(VoxelGrid, nodelet::Nodelet);
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#include "rclcpp_components/register_node_macro.hpp"
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RCLCPP_COMPONENTS_REGISTER_NODE(pcl_ros::VoxelGrid)
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@ -59,6 +59,12 @@ ament_add_pytest_test(test_pcl_ros::CropBox
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FILTER_PLUGIN=pcl_ros::CropBox
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APPEND_ENV AMENT_PREFIX_PATH=${CMAKE_CURRENT_BINARY_DIR}/test_ament_index
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)
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ament_add_pytest_test(test_pcl_ros::VoxelGrid
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test_filter_component.py
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ENV DUMMY_PLUGIN=pcl_ros_tests_filters::DummyTopics
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FILTER_PLUGIN=pcl_ros::VoxelGrid
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APPEND_ENV AMENT_PREFIX_PATH=${CMAKE_CURRENT_BINARY_DIR}/test_ament_index
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)
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# test executables
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ament_add_pytest_test(test_filter_extract_indices_node
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@ -98,3 +104,9 @@ ament_add_pytest_test(test_filter_crop_box_node
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FILTER_EXECUTABLE=filter_crop_box_node
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APPEND_ENV AMENT_PREFIX_PATH=${CMAKE_CURRENT_BINARY_DIR}/test_ament_index
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)
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ament_add_pytest_test(test_filter_voxel_grid_node
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test_filter_executable.py
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ENV DUMMY_PLUGIN=pcl_ros_tests_filters::DummyTopics
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FILTER_EXECUTABLE=filter_voxel_grid_node
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APPEND_ENV AMENT_PREFIX_PATH=${CMAKE_CURRENT_BINARY_DIR}/test_ament_index
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)
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